Generative features made for reliable output

A raw model integration gives you uncontrolled output: no guardrails or domain accuracy. We engineer the full production stack: context architecture that feeds the model the right information, guardrails that catch bad output before users see it, and monitoring that alerts you when accuracy drifts.

We're model-agnostic: OpenAI, Anthropic, Mistral, Llama, Gemini, Cohere - or your own fine-tuned models. Text, vision, and multimodal. We often orchestrate multiple models for different tasks within a single feature. Selection is driven by your requirements: accuracy, latency, cost, data residency, and compliance.

Fixed-fee engagement, scoped during discovery. Typical first engagement runs 6-8 weeks. Price depends on number of generative use cases, domain complexity, and accuracy requirements. We give you a firm number before you commit - no open-ended consulting.

Yes. No client data is stored on our infrastructure - we work entirely within your security environment. We operate under HIPAA, GDPR, and SOC2 requirements and sign NDAs and DPAs before engagement starts. If your compliance team has specific requirements, we accommodate them during scoping.

Your team owns and operates the entire system - context architecture, guardrails, monitoring, model configurations. Everything is documented, testable, and tunable. If you need to extend features, add new use cases, or retrain models later, we pick up with full context. But the system is designed to run without us - that's a successful outcome.